Honolulu, HI Oracle
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Job Description
As a Lead Data Scientist, you’ll shape next-gen AI capabilities for Clinical Data Exchange (CDeX)-where payers and providers collaborate seamlessly. You’ll build models that power prior authorization, risk adjustment, claims adjudication, and more-making data work smarter across the healthcare ecosystem. You’ll also help reduce the administrative burden on clinicians, using AI to automate documentation, extract insights, and deliver real-time intelligence when it matters most. From classical ML to generative models, you’ll lead with purpose designing scalable, responsible AI for real-world impact.
Responsibilities
growth and leadership. Responsibilities
Partner with Product Managers to turn ambitious product visions
into AI-powered solutions that reshape healthcare operations and
experiences.
Collaborate closely with Clinical Terminologists to ensure models are
clinically sound and aligned with evolving healthcare standards and
vocabularies.
Work hand-in-hand with UI Engineers and ML Engineers to bring AI
models to life in intuitive, responsive, and scalable products.
Lead the full lifecycle of AI development-from ideation and research
to deployment and monitoring.
Apply the latest advancements in machine learning, deep learning,
and generative AI to deliver innovation at scale.
Architect high-quality, production-ready AI pipelines, ensuring
robustness, accuracy, and compliance with healthcare regulations.
Develop clean, scalable code and drive best practices across the AI
engineering stack.
Mentor and inspire a team of data scientists, fostering technical
growth and leadership.
Contribute to planning, reviews, and retrospectives-driving
continuous improvement and cross-team alignment.
Anticipate and navigate technical and organizational risks to ensure
project success and sustained impact.
Qualifications and Experience
Proven experience architecting and deploying scalable AI solutions
in production, with measurable impact across complex, real-world
healthcare or enterprise systems.
Deep technical fluency in machine learning and deep learning
architectures, including Transformers and other neural network
frameworks-plus the intuition to choose the right tool for the right
problem.
Hands-on expertise in Large Language Models (LLMs) and
generative AI, with experience in advanced prompt engineering,
instruction fine-tuning, and parameter-efficient tuning techniques.
Proficiency in Python is a must, with experience applying it to build
and deploy AI/ML models and develop robust, scalable solutions.
Strong foundation in clinical data, with the ability to extract meaning
from structured and unstructured sources and align with
interoperability standards such as FHIR, C-CDA, or HL7.
Experience building models that support healthcare-critical
processes like prior authorization, risk adjustment, clinical
summarization, or claims adjudication is a major advantage.
Experience in building a wide range of AI models-including
classical ML models, semantic search, and information retrieval
systems-to power intelligent, high-precision workflows.
Familiarity with AI evaluation strategies, including data labeling,
annotation workflows, human-in-the-loop review, and longitudinal
model monitoring in high-stakes environments.
A natural drive to stay ahead of the curve, with the curiosity to
explore cutting-edge research and the discipline to translate it into
resilient, production-ready systems.
A track record of technical leadership, including mentoring junior
and senior scientists, championing innovation, and cultivating an
environment of curiosity and excellence.
Bonus: a strong portfolio of patents, publications, or open source
contributions, reflecting thought leadership and a commitment to
pushing the field forward.
Preferred Qualifications:
Strong understanding of the healthcare ecosystem and proven
experience delivering AI-driven solutions tailored to healthcare
applications, transforming patient care and operational efficiency.
Familiarity with the latest advancements in Natural Language
Processing (NLP) and Generative AI, empowering you to create
advanced AI systems that interpret, generate, and interact with
complex healthcare data.
Proven ability to design, deploy, and scale these solutions on cloud
platforms, with preference for OCI (Oracle Cloud Infrastructure),
though experience with AWS and Azure is also highly valued.
Education
A PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related discipline, with a deep dive into Machine Learning and Deep Learning through your dissertation or final project, coupled with 12+ years of hands-on experience, is highly valued-but not a dealbreaker, OR A master’s or bachelor’s degree in a relevant field, paired with 12+ years of practical, impactful experience in the field, will also make you a strong contender.
you a strong contender
Disclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $109,200 to $223,400 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level – IC4
About Us
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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